Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration
Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of robots. The release moves the stack past table-top manipulation into whole body control, five finger dexterity and multi robot teamwork. It ships as three separate models with three different access tiers. Most robots today are pre-programmed or tele-operated for narrow, repetitive task sequences. They do not adapt to unpredictable environments, and skills rarely transfer between robot bodies. G
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Google DeepMind released three artificial intelligence models designed to control physical robots with greater capability than previous versions. The models enable robots to perform whole body movements, multi-finger hand dexterity, and coordinate actions across multiple robots, addressing limitations where most robots today are pre-programmed for narrow tasks and cannot adapt to unpredictable environments. One model serves as a high-level reasoning system that plans multi-step tasks, while the other two handle the actual motor control, one optimized for running directly on robots. The release demonstrates progress in robotic capabilities, though performance varies significantly by task, with some advanced dexterity tasks succeeding less than half the time.
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